Genetic variability of the SARS-CoV-2 pocketome
2021
University of Toronto, Toronto, Canada
The goal of the study was to identify highly conserved binding sites on multiple coronavirus species in order to find putative targets for the development of pan-coronavirus drugs. The authors used an algorithm to systematically map druggable binding pockets on the experimental structure of 15 SARS-CoV-2 proteins and to analyse their variation across 27 coronaviruses and across thousands of SARS-CoV-2 samples from COVID-19 patients. They found the two most conserved druggable sites and present the data on a public web portal (https://www.thesgc.org/SARSCoV2_pocketome/), where users can interactively navigate individual protein structures and view the genetic variability of drug-binding pockets in 3D.
Genetic variability of the SARS-CoV-2 pocketome
Matthieu Schapira
Added on: 10-21-2021
[1] https://pubs.acs.org/doi/abs/10.1021/acs.jproteome.1c00206#[2] https://www.drugtargetreview.com/news/94956/algorithm-helps-find-best-drug-targets-for-all-covid-19-variants/?utm_source=Email+marketing&utm_medium=email&utm_campaign=DTR+-+Newsletter+30+-+No+sponsor+-+29.07.2021&utm_term=Novel+group+of+small+molecules+show+promise+against+SARS-CoV-2&utm_content=https%3a%2f%2femails.drugtargetreview.com%2frussellpublishinglz%2f&gator_td=yq5xi0O3ELaYnGT%2b3beRm0s3zK9h2SYyCZEXKdjbkBAq%2f5h%2bwE5N3C0x8UKSjGVyu1RTux%2bKjonDpSctVBh4Pdr4P5VhLW%2fPI244cfNIY%2bV2ecMvMPKVs3zyA8X%2fwrVDRYEDoeYbmHCG9xEKQKrer8M1S%2fyHyvrsD9n5poHY2x8wR1ERP4zfAth%2b%2bHhzHrJg73VjbMLbFhcfCHgiTQSuBRkE1u8kv2eJlKpqQW4Gg0M%3d
